Multiscale design of nonlinear materials using a Eulerian shape optimization scheme-Reference-Cited by-同舟云学术

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Multiscale design of nonlinear materials using a Eulerian shape optimization scheme

Published:2021-03-16 Issue:12 Volume:122 Page:2981-3014
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int J Numer Methods Eng

Author:

Najafi Ahmad R.¹^ORCID,Safdari Masoud²,Tortorelli Daniel A.³⁴,Geubelle Philippe H.²

Affiliation:

1. Department of Mechanical Engineering and Mechanics Drexel University Philadelphia Pennsylvania USA

2. Department of Aerospace Engineering University of Illinois Urbana Illinois USA

3. Department of Mechanical Science and Engineering University of Illinois Urbana Illinois USA

4. Director, Center for Design and Optimization Lawrence Livermore National Laboratory Livermore California USA

Funder

Air Force Office of Scientific Research

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6650

Reference100 articles.

1. A Variational Approach to the Theory of the Effective Magnetic Permeability of Multiphase Materials

2. On characterizing the set of possible effective tensors of composites: The variational method and the translation method

3. Random-walk simulation of diffusion-controlled processes among static traps

4. A fast numerical scheme for computing the response of composites using grid refinement

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stress-constrained optimization of multiscale structures with parameterized microarchitectures using machine learning;Structural and Multidisciplinary Optimization;2024-06

2. Deep neural networks for parameterized homogenization in concurrent multiscale structural optimization;Structural and Multidisciplinary Optimization;2023-01

3. Multiscale design of nonlinear materials using reduced-order modeling;Computer Methods in Applied Mechanics and Engineering;2022-09

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